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Data Annotation Engineer Jobs in Dallas, TX (NOW HIRING)

HSSSoft

JAVA Developer

Dallas, TX

$50.50 - $65.25/hr

JAVA Developer Location: Texas Job Type: Full Time Job Opportunity Required Skills: - Spring ... annotation based as well as XML based config). - Hibernate 4 with Spring Data JPA - J2EE ...

Forhyre

Prompt Engineers

Dallas, TX · On-site

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Forhyre

Prompt Engineers

Plano, TX

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

HumanSignal

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... Partner with Product and Engineering to evolve internal tooling, automation, and operational ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Dallas, TX

Data Annotation Engineer information

See Dallas, TX salary details

$50.9K

$145.8K

$194.8K

How much do data annotation engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data annotation engineer in Dallas, TX is $145,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $193,900.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Dallas, TX? For Data Annotation Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Dallas, TX look for? The top searched job categories for Data Annotation Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Annotation Engineer jobs? Cities near Dallas, TX with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Lead Simulation Engineer (Digital Twin)

Lead Simulation Engineer (Digital Twin)

Caterpillar

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

226th of 430 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
The Simulation & Digital Twin Engineer will design, develop, and integrate simulation and visualization capabilities that support Caterpillar's next-generation digital twin, machine behavior modeling, and interactive 3D experiences. This role combines simulation engineering, real-time visualization, and 3D scene-building using NVIDIA Omniverse and modern C++/Python toolchains. The engineer will build the behavioral logic, physics integrations, and visualization layers that enable accurate, high-performance representations of Caterpillar machines, job sites, and workflows. This is a hands-on role which will plan, architect and also lead and mentor.
What You Will Do:
  • Simulation/Digital Twin Development: Develop and deploy the simulation logic and behavioral models governing machine and system behavior. Implement real-time simulation algorithms, including kinematics, dynamics, and control-system interactions. This includes integration of physics engines (e.g., PhysX, Omniverse Physics, or equivalent) to support realistic behavior and machine-environment interactions.
  • Simulation Quality: Develop and execute model validation and verification plans, ensuring digital twins are accurate and numerically stable.
  • Real-Time 3D Visualization Engineering: Create high-fidelity 3D models, scenes, and environments such as NVIDIA Omniverse. Develop interfaces that connect simulations to real-time visualization, dashboards, and operator-focused experiences. Implement automated test pipelines and document model correlations, limitations, and validation scoring.
  • Integration & Platform Engineering: Contribute to toolchain and pipeline design, including scripting utilities, automated test frameworks, and modular code libraries. Collaborate across data engineering/architecture, autonomy, product groups, and engineering to ensure interoperability and alignment with business needs.
  • Digital Twin Tooling & Ecosystem Support: Evaluate and implement new simulation libraries and real-time rendering technologies that enhance simulation fidelity and performance. Work hands-on with multiple digital-twin platforms, such as: NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar

What You Will Have:
  • Software/Simulation Product Design/Architecture: Knowledge of simulation and robotics product design; ability to convert market requirements into the product design.
  • Simulation Software Product Technical Knowledge: Knowledge of technical aspects of simulation products; ability to design, configure and integrate technical aspects of these products.
  • Product Testing: Ability to design, plan, and execute model validation and testing strategies and tactics to ensure product quality and adherence to stated requirements. Implement automated test pipelines and document model correlations, limitations, and validation scoring.

Top Candidates Will Have:
  • Bachelor's degree in Computer Science, Software Engineering, Mechanical Engineering, Robotics, or a related field or equivalent experience.
  • 5+ years of experience developing digital twins or simulation-based systems in industries such as technology, aerospace, defense, heavy machinery, or automotive, with exposure to high-fidelity modeling, physics-based simulation, and real-time visualization.
  • Strong expertise in system-level simulation and digital twin technologies. This includes but is not limited to multi-physics modeling, data driven/statistic simulations, discrete-events simulation and machine learning based simulation.
  • Expertise in data annotation and labelling technologies with ability to institute and maintain the program.
  • Experience with NVIDIA Omniverse, including USD workflows, Omniverse Kit/Code, PhysX, or Omniverse-based pipeline development.
  • Knowledge of other digital-twin and real-time simulation tools, such as Unity, Unreal Engine, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Rockwell Emulate3D, or similar industrial platforms.
  • Familiarity with physics engines (PhysX, Omniverse Physics, Bullet, ODE, or equivalent) and experience integrating them into simulation environments.
  • Strong hands-on programming skills in C++ and Python for simulation logic, behavior modeling, and tooling.
  • Experience validating simulation models and digital twins using test data correlation, scenario-based testing, regression testing, and telematics/real-world data.
  • Ability to work cross-functionally with engineering, autonomy, controls, software, and product teams, communicating complex technical concepts clearly.
  • Experience modeling mechanical systems, hydraulics, heavy equipment, or robotics.
  • Knowledge of 3D scene construction, rendering concepts, and UI development for real-time visualization.
  • Experience with cloud-based simulation workflows, large-scale data integration, or distributed simulation pipelines.

Additional Details:
  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is available with this position.

#LI
Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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